Top Data Engineer Jobs in Warsaw

As a Senior Clinical Data Science Programmer, you will design and implement data pipelines, ensuring data integrity and collaboration with various users in a fully remote environment.

As a Data Engineer, you will develop and optimize data pipelines, implement advanced analytics, and collaborate with stakeholders to enhance data systems.

Design and maintain scalable data pipelines, optimize performance, and collaborate with teams to improve data quality and governance.

Develop scalable software, collaborate on design and architecture, conduct code reviews, and mentor new team members in a high-performance environment.

Build and maintain Python-based data pipelines on Databricks, collaborate with product and domain experts, debug Tier-2 system issues, create documentation and onboarding processes, write integration tests, manage code in GitLab, and improve data quality and self-service tooling.

The Senior Software Engineer will lead engineering teams, mentor junior engineers, and ensure system reliability and performance while developing backend services.

Design and operate scalable Java-based backend services, develop APIs, build data pipelines, and collaborate with cross-functional teams for personalized solutions.

As a Flink Data Engineer, you will develop real-time streaming pipelines, upgrade Flink environments, migrate datasets, and ensure data quality through automation and collaboration with teams.

As a Data Engineer, you will enhance our data platform, build scalable architecture, optimize data transformations, and ensure data governance across teams.

The Data Engineer will design and implement scalable data platforms, build data pipelines, collaborate with teams to ensure data quality, and streamline processes using AWS services and big data technologies.

As a Data Engineer, you will design and manage telemetry systems, support data pipelines, ensure data integrity, and collaborate with various teams for analytics.

We are seeking a GCP Data Engineer to build ETL/ELT pipelines, maintain dbt models, optimize BigQuery performance, and support data access in an international, remote team.

The Full Stack Data Engineer will design and build scalable data pipelines, optimize Snowflake architecture, develop dashboards and analytics solutions, and collaborate with cross-functional teams to ensure data reliability and meet business requirements.

The Data Engineer will develop, maintain, and optimize data pipelines using Apache Airflow, manage database performance, and support Elasticsearch integration. Responsibilities include building ETL scripts, handling Unix/Linux operations, and implementing CI/CD pipelines in GitLab.

Join Guesty as a Data Engineer to build and maintain scalable data systems, optimize ETL processes, and collaborate across teams for data-driven operations.

As a BI Data Engineer, you'll develop scalable data solutions, maintain ETL pipelines, ensure data integrity, and collaborate across teams for insights and reporting.

The Senior AI Data Engineer will lead the development of data infrastructure for AI projects, ensuring scalable data pipelines and governance, while collaborating with the AI team to optimize performance and facilitate AI training and operations.

As a Data Engineer, you will design and optimize data pipelines, ensuring data quality and integration with AI tools in an agile environment.

Design, build, and maintain scalable data pipelines, and optimize data transformations. Collaborate with teams on the data lifecycle and ensure data governance and quality assurance.

The role involves creating commerce intelligence solutions using AI to enhance decision-making processes in a digital commerce environment.

The AI Data Engineer will build and enhance data pipelines for AI initiatives, ensuring compliance, governance, and collaboration with cross-functional teams.

Lead a data engineering team, develop AI self-service portal and data pipelines, interface with internal teams, and ensure software engineering best practices.

The role involves developing and supporting data processing pipelines, collaborating with ML Engineers, and improving infrastructure while mentoring team members.

The Data Engineer will build and maintain the data platform, optimize data transformations, implement data governance, and collaborate on data assets to ensure data-driven decision making.

The Data Engineer will design and maintain data pipelines, optimize performance, enforce governance, and collaborate with AI teams for innovative solutions.